We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Datasets like https://github.com/openai/human-eval, https://github.com/THUDM/AgentBench, https://github.com/the-crypt-keeper/can-ai-code, https://github.com/poloclub/diffusiondb, https://github.com/LAION-AI/CLIP_benchmark, https://github.com/carlini/yet-another-applied-llm-benchmark, https://github.com/EpistasisLab/pmlb and https://github.com/OpenBMB/UltraFeedback, https://github.com/defog-ai/sql-eval, https://github.com/OpenGenerativeAI/llm-colosseum, https://github.com/embeddings-benchmark/mteb are popular among ML practitioners, maybe we could create a new section named industry-strength datasets?
The text was updated successfully, but these errors were encountered:
To be discussed
Sorry, something went wrong.
axsaucedo
Successfully merging a pull request may close this issue.
Datasets like https://github.com/openai/human-eval, https://github.com/THUDM/AgentBench, https://github.com/the-crypt-keeper/can-ai-code, https://github.com/poloclub/diffusiondb, https://github.com/LAION-AI/CLIP_benchmark, https://github.com/carlini/yet-another-applied-llm-benchmark, https://github.com/EpistasisLab/pmlb and https://github.com/OpenBMB/UltraFeedback, https://github.com/defog-ai/sql-eval, https://github.com/OpenGenerativeAI/llm-colosseum, https://github.com/embeddings-benchmark/mteb are popular among ML practitioners, maybe we could create a new section named industry-strength datasets?
The text was updated successfully, but these errors were encountered: